How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Effective binary encodings and total decoders
Definition
Let . A binary encoding of a set is an injective function (A function is a relation with and implying ; , the value , domain and codomain, Injection, surjection, bijection).
Fix a symbol not belonging to . A total decoder for is a function such that Thus is exactly the output on malformed codes, and the decoder is defined on every binary word, not only on words in the image of .
The encoding is effective when such a total decoder is specified.
The encoding is prefix-free when no codeword is a proper prefix of another: there do not exist distinct and a nonempty binary word with .
Remarks
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Effectiveness here means injective plus explicitly decodable with a fixed malformed-code output. It does not yet formalize computation by Turing machines.
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Prefix-freeness is an additional property, not part of the definition of an effective encoding.
Depends on
Used by
Dependency tree · two levels
12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John E. Savage, Models of Computation: Exploring the Power of Computing (standard reference, not scraped)
- Michael Sipser, MIT 18.404J Theory of Computation, Lecture 7 (standard reference, not scraped)